CAJ | 학술논문

　　受自然条件的影响，风电功率预测的精度依然较低。在大规模风电基地联网运行的场景下，直接利用风电功率预测信息进行风电调度决策，会给电力系统的安全运行带来风险。储能系统具有对功率和能量的时间迁移能力，能够有效应对风电功率预测误差，确保电网的安全运行。然而，在目前的技术经济水平下，储能系统造价昂贵，利用储能系统提高风电的调度入网规模是否可行，需要从经济性角度进行系统评估。该文提出利用储能减小风电调度风险的“源?网协调”调度方法，构建了储能系统经济性评估模型，分不同的概率区间预测场景评估了利用储能系统提高风电接纳规模的可行性，研究结果能够为利用储能系统提高风电调度入网容量提供决策依据。
　　수자연조건적영향，풍전공솔예측적정도의연교저。재대규모풍전기지련망운행적장경하，직접이용풍전공솔예측신식진행풍전조도결책，회급전력계통적안전운행대래풍험。저능계통구유대공솔화능량적시간천이능력，능구유효응대풍전공솔예측오차，학보전망적안전운행。연이，재목전적기술경제수평하，저능계통조개앙귀，이용저능계통제고풍전적조도입망규모시부가행，수요종경제성각도진행계통평고。해문제출이용저능감소풍전조도풍험적“원?망협조”조도방법，구건료저능계통경제성평고모형，분불동적개솔구간예측장경평고료이용저능계통제고풍전접납규모적가행성，연구결과능구위이용저능계통제고풍전조도입망용량제공결책의거。
Because of changes of weather, it is still a challenge to forecast wind power accurately. In the case of large wind farms connecting to grid, especially in high penetration condition, utilizing prediction information of wind power for scheduling decision directly will bring risks to power system. The energy storage system have the time shift capability with respect to power and energy, which is able to cope with the wind power prediction error effectively and ensure the security of the power system. However, constrained by the current technical and economic level, the cost of energy storage systems is still expensive. Thus, the feasibility of improving the wind power scheduling scale by the energy storage systems should be assessed from the view of the economy. To assess it, an economic assessment model of the energy storage system was built, and different probability interval forecast scenarios were constructed. Research results provide a theoretical reference for application of energy storage systems to improve wind power scheduling scale.